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Abstract <p>The body of research addressing the impact of the fMRI environment on cognitive performance often considers the effects of acoustic noise and supine body position. However, the orthogonal manipulation of these factors in an experimental design was lacking. In the current study, we used a within-subject 2 × 2 design to test the effects of Sound (noise vs. silence) and body Position (lying vs. sitting), as well as their interaction, on a working memory (verbal 2-back) task and a simple reaction task. In addition, we analyzed the effects of Sound in the MEG setup with the same participants. Accuracy in the n-back task was affected neither by Sound nor by Position. Response time in this task was not affected by Sound at the group level, however, there were significant individual differences: some participants were consistently slowed down and others responded faster with the noise. In both tasks, response times were increased by the supine position by approximately 25 ms. Besides that, we observed a substantial discrepancy (up to 80 ms) between response times in the sitting condition in the MRI and MEG setups, which may be attributed to hardware/environmental factors. These findings are consistent with the data from a real neuroimaging (fMRI and MEG) study using the same tasks. Our results may be helpful for understanding the decomposition of differences in behavioral data recorded across various neuroimaging facilities into components specific to body position and hardware/environmental factors, and they also may shed light on previously inconsistent results on the role of acoustic noise.</p>

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The Impact of fMRI and MEG Environments on Response Time and Accuracy in Simple Reaction and Working Memory Tasks

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • O. A. Korolkova,
  • A. V. Smirnova,
  • M. E. Pchelintseva,
  • Ya. R. Panikratova,
  • V. E. Sinitsyn,
  • E. V. Pechenkova

摘要

Abstract

The body of research addressing the impact of the fMRI environment on cognitive performance often considers the effects of acoustic noise and supine body position. However, the orthogonal manipulation of these factors in an experimental design was lacking. In the current study, we used a within-subject 2 × 2 design to test the effects of Sound (noise vs. silence) and body Position (lying vs. sitting), as well as their interaction, on a working memory (verbal 2-back) task and a simple reaction task. In addition, we analyzed the effects of Sound in the MEG setup with the same participants. Accuracy in the n-back task was affected neither by Sound nor by Position. Response time in this task was not affected by Sound at the group level, however, there were significant individual differences: some participants were consistently slowed down and others responded faster with the noise. In both tasks, response times were increased by the supine position by approximately 25 ms. Besides that, we observed a substantial discrepancy (up to 80 ms) between response times in the sitting condition in the MRI and MEG setups, which may be attributed to hardware/environmental factors. These findings are consistent with the data from a real neuroimaging (fMRI and MEG) study using the same tasks. Our results may be helpful for understanding the decomposition of differences in behavioral data recorded across various neuroimaging facilities into components specific to body position and hardware/environmental factors, and they also may shed light on previously inconsistent results on the role of acoustic noise.